Abstract
New sensing technologies and the decreasing cost of Information and Communication Technologies (ICTs) make possible the development of electronic Health (eHealth) monitoring systems. The challenges of such systems include the representation of data extracted from various sensor devices by knowledge workers through semantic enrichment and integration. Also, the data must be stored in a format suitable for querying and further analysis. This paper describes the demonstration of the HealthSense system which captures and queries personal health data extracted from wearable sensors. Figure 1 illustrates the transformation process. There are 4 layers, representing data in different formats, separated by the 3 processors that transform them. A detailed description of the 3 processors was presented in [1].
The RSS SENSE project is funded by Enterprise Ireland Ref. PC/2007/112.
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References
Camous, F., McCann, D., Roantree, M.: Capturing Personal Health Data From Wearable Sensors. In: Proc. of the 2nd Intl. Workshop on SensorWebs, Databases and Mining in Networked Sensing Systems (to appear, 2008)
Meier, W.: Index-Driven XQuery Processing in the eXist XML Database. In: XML Prague 2006 (2006)
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Camous, F., McCann, D., Roantree, M. (2008). HealthSense: An Application for Querying Raw Sensor Data. In: Li, Q., Spaccapietra, S., Yu, E., Olivé, A. (eds) Conceptual Modeling - ER 2008. ER 2008. Lecture Notes in Computer Science, vol 5231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87877-3_40
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DOI: https://doi.org/10.1007/978-3-540-87877-3_40
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